6 citations · 8 across the 3 of their papers we have counts for
4 papers
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li, Ruqi Zhang
Long-tailed classification is challenging due to its heavy imbalance in class probabilities. While existing methods often focus on overall accuracy or accuracy for tail classes, th…
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
Ruqi Zhang, Qiang Liu, Xin T. Tong
Sampling methods, as important inference and learning techniques, are typically designed for unconstrained domains. However, constraints are ubiquitous in machine learning problems…
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang, Christopher De Sa
Gibbs sampling is a Markov chain Monte Carlo method that is often used for learning and inference on graphical models. Minibatching, in which a small random subset of the graph is…
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang +2
The posteriors over neural network weights are high dimensional and multimodal. Each mode typically characterizes a meaningfully different representation of the data. We develop Cy…